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A modified gradient learning algorithm with smoothing L1/2 regularization for Takagi-Sugeno fuzzy models

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Indexed by:期刊论文

Date of Publication:2014-01-01

Journal:Neurocomputingv 138, p 229-37, 22 Aug. 2014

Volume:138

Issue:4

Page Number:229-237

Pre One:Neural Networks with L-1 Regularizer for Sparse Representation of Input Data

Next One:Batch gradient method with smoothing L1/2 regularization for training of feedforward neural networks
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